Prompt Cleaner helps users sanitize text before submitting it to large language models. Key features include:
• Automatic detection and removal of emails
• Redaction of credit card numbers
• Scrubbing of IP addresses (IPv4)
• Prompt injection framing for better model responses
• Instant processing with a strict no-storage policy
This tool ensures that sensitive personally identifiable information (PII) like email addresses, payment card details, and IP addresses are removed from your text. It operates server-side, replacing detected patterns with safe placeholder tokens to protect user privacy and prevent data leakage to training datasets or logs of various language models. The process is quick, providing results in under 100ms without relying on external integrations.
Designed for developers, analysts, and anyone concerned about data privacy when interacting with language models. It's ideal for cleaning corporate communications, logs, or any document containing private data before submitting it for summarization, analysis, or content creation. The service is free for basic use with an option to upgrade for unlimited requests and API access, ensuring data security through a no-storage policy.
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